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· Private foundation

Phyllis W Smith Pvt Fdn

Its FY2025 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$318k
Granted FY2025still arriving
4
Grants FY2025still arriving
1
States reached
$79k
Largest
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2025.

Health$1.1MAnimals$553kReligion$473kArts & Culture$79k
02FY2025 · 4 grants

Where the money goes

Grants by size, and the largest recipients.

$79,379
Median grant
1
States reached
$5.8M
Total assets
Largest grants
RecipientAmount
HOLYOKE HOSPITAL$79,379
MSPCA OF FRANKLIN COUNTY$79,379
BAYSTATE HEALTH FOUNDATION INC$79,379
SYCAMORES OF S HADLEY HISTORICAL SOC'Y$79,379
02Its grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

93%of every dollar goes to organizations it has funded before.
$2.1M · 4 repeat orgs$159k to everyone else

Grantees it renews have grown median revenue +13% since the first grant, against 0% for those funded once.

4 repeat relationships: 2 still active in FY2025, 2 since wound down; 2 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

4
2

Total granted

$2.1M
$159k

Median revenue growth · since first grant

+13%
0%

Still filing today

25%
50%

New vs renewed · share of each year

In FY2025, 50% of grant dollars renewed an existing relationship; $159k went to new ones.

50%100%’17’19’20’21’22’23’24’25
RenewedFirst-time
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). The earliest year is left-censored: relationships that predate the data read as new. Theme is the grantee’s IRS cause.

Backed again, and grew

  • HH
    HOLYOKE HOSPITAL
    8× · 2017–2025 · $553k
  • MO
    MSPCA OF FRANKLIN COUNTY
    8× · 2017–2025 · $553k
  • SO
    SYCAMORES OF S HADLEY
    7× · 2017–2024 · $473k

Funded once

  • SO
    SYCAMORES OF S HADLEY HISTORICAL SOC'Y
    one grant, 2025 · $79k
  • BH
    BAYSTATE HEALTH FOUNDATION INC
    one grant, 2025 · $79k · revenue 0%
How this is measured

Repeat means funded in two or more distinct years. Growth and survival are read from each grantee’s own subsequent IRS filings.

03Its field
03the grantee network

2 grantees tracked through their own filings, 2017–2025.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 2 of the 6 grantees resolved in that span have returns of their own we could reconcile.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
2/2
Grantees still filing
1/2
Grew since first funded

Where the money sits, by cause and then by grantee

HOLYOKE HOSPITAL: $552,793 · OtherHOLYOKE HOSPITALMSPCA OF FRANKLIN COUNTY: $552,792 · OtherMSPCA OF FRANKLIN COUNTYSYCAMORES OF S HADLEY: $473,414 · OtherSYCAMORES OF S HADLEYSYCAMORES OF S HADLEY HISTORICAL SOC'Y: $79,379 · OtherBAYSTATE HEALTH INC: $473,413 · HealthBAYSTATE HEALTH INCBAYSTATE HEALTH FOUNDATION INC: $79,379 · HealthBAYSTATE HEALTH FOUNDATION I…
Other$1,658,378Health$552,792

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%grantee revenue →↑ funder's share of their budgetBAYSTATE HEALTH INC: $473,413 over 7y, 0.8% of budgetBAYSTATE HEALTH FOUNDATION INC: $79,379 over 1y, 0.7% of budget
Grantee by grantee: a decade per organization, before and after funding

A decade per grantee: revenue shaded, grants as bars, all rows on one timeline.

  • Who funds BAYSTATE HEALTH INC ↗
  • Who funds BAYSTATE HEALTH FOUNDATION INC ↗

How much its grantees rely on government

Each dot is one organization Phyllis W Smith Pvt Fdn funds: left to right is the share of its income from government, bottom to top the share from Phyllis W Smith Pvt Fdn. Bigger dots raise more.

2024
’20’21’22’23’24
no gov · 00%0%1%3%5%funder's share of their income ↑0%1%3%4%5%share of the org’s income from government →median 0%
  • Baystate Health Foundation Inc: 0% of income from government
  • Baystate Health Inc: 0% of income from government
no gov moneyreceives it· size = income
0get no government money at all
0rely on government for over half their income
⤢ axis zoomed · 0–5%
typical government reliance, FY20–24
How this is measured
Government income is each org’s traced federal awards (USASpending grants and contracts) plus state payments (open checkbooks) as a share of its total revenue (IRS Form 990); the self-reported government-grant line (990 line 1e) is carried for cross-check: a grantee that reports government grants we could not trace to a source is left off the chart rather than shown as receiving none. An association, not a claim that a grant caused the public funding. Coverage is precision-first, a floor rather than a census; state records exist for 9 states, so a grantee outside them shows no state figure (dimmed) rather than a false zero. Federal award amounts are obligations, which can span years, so a single-year share is indicative. 990 filings lag 12 to 24 months.

On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 6 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

How this is measured
Each figure carries one of six labels. Filed is what the funder reported on its return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears.

Generated from the IRS Form 990-PF e-file return for fiscal year 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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